Annette Stahl
Om
Annette Stahl is a Professor at the Department of Engineering Cybernetics, an Affiliated Scientist of the Centre of Excellence - NTNU AMOS, and a Researcher at the Centre for Research-based Innovation (SFI) AutoShip. She is Head of the Robotc Vision Group and PI of the Research Council of Norway funded AILARON project. She has a PhD in Applied Mathematics - Computer Vision from Heidelberg University, Germany.
Research Interests
- Robotic, computer and machine vision
- Control theory, robotics, autonomous vehicles
- Mathematical image analysis
- Motion estimation, variational methods, partial differential equations
- Object recognition
- Multi-view reconstruction
- Visual SLAM
- Statistical shape analysis
- Machine learning
- Virtual reality
- Isogeometric analysis, visualization
- High perfomance computing
Supervision
PhD-candidates:
Main supervisor:
- Trym Nygård , funded by the Research Council of Norway (IKTPLUSS) - AUTOSIGHT
- Emil Martens (integrated PhD), funded by the Research Council of Norway - SFI AUTOSHIP
- Mauhing Yip, funded by the Research Council of Norway (KPN MAROFF) - AROS project
- Michael Ernesto Lopez, funded by the Research Council of Norway (KPN MAROFF) - AUTOSIT project
- Jonatan Dyrstad funded by the Research Council of Norway (FRINATEK/IKTPLUSS) - Neodroit project
- Trym Haavardsholm funded by FFI
- Simen Haugo funded by NTNU
- Marco Leonardi funded by NTNU
Co-advisor:
- Espen Berntsen Høgstedt, Individual Fish reidentification (CAIGE), Main supervisor: Rudolf Mester, IDI
- Nicholas Dalhaug, Extendend Object Tracking exploiting stereo vision (AUTOSIGHT), Main supervisor: Edmund Brekke
- Matias Haugum, (AWAS) ,Main supervisor: Tor Arne Johansen
- Henrik Dobbe Flemmen (SFI Autoship), Main supervisor: Edmund Brekke
- Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
- Torje Nysæther: Vision-based Autonomous Docking and Intervention Operations (ERC CRÈME) Main supervisor: Kristin Y. Pettersen
- Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
- Øystein Volden, Real-Time Encryption of Computer Vision Feedback Control Systems for Autonomous Ships Main supervisor: Thor Inge Fossen
- Øystein Kaarlsen Helgesen, Sensor Fusion and Situational Awareness for autonomous urban ferries in the Autoferry project: Main supervisor: Edmund Brekke
- Lars-Christian Tokle, Sensor fusion for autonomous ferry, Main supervisor: Edmund Brekke
Master students:
-
2023/2024: 15 Master students
- 2022/2023: 4 Master students
-
2021/2022: 9 Master students
-
2020/2021: 8 Master students
- 2019/2020: 10 Master students
- 2018/2019: 13 Master students
- 2017/2018: 5 Master students
- 2016/2017: 7 Master students
Alumni:
- Joseph Garrett (ERCIM fellow), Postdoctoral fellow
- Aya Saad funded by the Research Council of Norway (FRINATEK/IKTPLUSS)
Projects
- AUTOSIGHT - Autonomy through stereo vision near the seashore (RCN IKTPLUSS)
- AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ, (RCN FRINATEK/IKTPLUSS)
- AROS - Autonomous Robots for Ocean Sustainability (RCN IKTPLUSS)
- Deteksjon av person i elva basert på infrarød sensor, maskinlæring og automatisk bildebehandling (RFFTRØNDELAG), in collaboration with Zebop AS
- SFI AutoShip: Autonomous Ships for Safe and Sustainable Operations (RCN SFI)
- AUTOSIT - Autonomous Ships, Intentions and Situational Awareness (RCN KPN MAROFF)
- INDISAL - Enabling technology for identification of individual salmon in
commercial fish-cages (RCN HAVBRUK2), In collaboration with SINTEF Ocean - NEODROID Creating a reality-ready robot brain in virtual reality (RCN FRINATEK/IKTPLUSS), in collaboration with SINTEF Ocean
- CageReporter Development of technology for autonomous, bio-interactive and high-quality data acquisition in Aquaculture sea cages (RCN IPN), in collaboration with SINTEF Ocean
News
- A robotic microplankton sniffer-dog (May 2021)
https://norwegianscitechnews.com/2021/05/a-robotic-microplankton-sniffer-dog/ - iLaks article (Oct 2016): Droner ser sykdom på fisk og hull i noter
http://ilaks.no/droner-ser-sykdom-pa-fisk-og-hull-i-noter/
- Gemini article (Aug 2016): Robotic Vision helps detect diseases and keep fish healthy
http://gemini.no/en/2016/08/robot-vision-helps-detect-diseases-and-keep-fish-healthy/
https://www.sintef.no/en/latest-news/robot-vision-helps-detect-diseases-and-keep-fish-h/
- Gemini article (Aug 2016): Robotsyn oppdager sykdom og gir friskere fisk
http://gemini.no/2016/08/robotsyn-oppdager-sykdom-og-gir-friskere-fisk/
http://sintef.no/siste-nytt/robotsyn-finner-sykdom-og-gir-friskere-fisk/
http://www.abcnyheter.no/livet/2016/08/12/195235012/robotsyn-finner-sykdom-og-gir-friskere-fisk
- DN article (July 2016): Robotsyn gir friskere fisk
http://www.dn.no/meninger/debatt/2016/07/21/2120/Teknologi/robotsyn-gir-friskere-fisk
Datasets
-
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth https://www.ntnu.edu/arosvisiongroup/varos
Publikasjoner
2025
-
Teigen, Andreas Langeland;
Yip, Mau Hing;
Hamran, Victor Pierre;
Skui, Vegard;
Stahl, Annette;
Mester, Rudolf.
(2025)
Removing Adverse Volumetric Effects from Trained Neural Radiance Fields.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
2024
-
Hilmarsen, Henrik;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf;
Dalhaug, Nicholas;
Nygård, Trym Anthonsen.
(2024)
Maritime Tracking-by-Detection
Using Camera and Lidar.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Larsen, Sindre;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
Objective Analysis of Melanin Spots
as Welfare Signals in Atlantic Salmon
Using AI-Based Computer Vision.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Fink, Thale Eliassen;
Stahl, Annette;
Yip, Mau Hing.
(2024)
Near Real-Time Data Extraction and
Georeferencing of the Eelume
Robot’s Point Cloud, with Publishing
to Custom User Applications.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Storstein, Fredrikke;
Stahl, Annette;
Mester, Rudolf.
(2024)
Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Fjorden, Thomas;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Wiik, Magnus;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
Assessing Re-Identification
Capabilities of Salmon Body Parts
Using AI-Based Computer Vision
Methods.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Yip, Mau Hing;
Schellewald, Christian;
Gambin, Timmy;
Stahl, Annette.
(2024)
Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Høgstedt, Espen Berntzen;
Schellewald, Christian;
Mester, Rudolf;
Stahl, Annette.
(2024)
Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability.
Aquaculture
Vitenskapelig artikkel
-
Schellewald, Christian;
Saad, Aya;
Stahl, Annette.
(2024)
Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Diamanti, Eleni;
Yip, Mau Hing;
Stahl, Annette;
Ødegård, Øyvind.
(2024)
Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios.
Journal of Computer Applications in Archaeology
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2024)
Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera.
Journal of Physics: Conference Series (JPCS)
Vitenskapelig artikkel
-
Dalhaug, Nicholas;
Stahl, Annette;
Mester, Rudolf;
Brekke, Edmund Førland.
(2024)
Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Grini, Jon Torgeir;
Mester, Rudolf;
Nygård, Trym Anthonsen;
Dalhaug, Nicholas;
Brekke, Edmund Førland;
Stahl, Annette.
(2024)
FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Hilmarsen, Henrik;
Dalhaug, Nicholas;
Nygård, Trym Anthonsen;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2024)
Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar .
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Teigen, Andreas Langeland;
Park, Yeonsoo;
Stahl, Annette;
Mester, Rudolf.
(2024)
RGB-D Mapping and Tracking in a Plenoxel Radiance Field.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Dalhaug, Nicholas;
Nygård, Trym Anthonsen;
Stahl, Annette;
Mester, Rudolf;
Brekke, Edmund Førland.
(2024)
Advancing Sparse Classical Scene Flow into the Maritime Domain.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Yip, Mau Hing;
Stahl, Annette;
Schellewald, Christian.
(2024)
Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices.
Computer-Aided Design
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Dalhaug, Nicholas;
Mester, Rudolf;
Brekke, Edmund Førland;
Stahl, Annette.
(2024)
Stereo Camera-based Free Space Estimation for Docking in Urban Waters.
MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
-
Bergholt, Agnes Verne;
Haukefær, Anna Aurora;
Stahl, Annette.
(2024)
Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Grini, Jon Torgeir;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf;
Nygård, Trym Anthonsen;
Dalhaug, Nicholas.
(2024)
Bayesian Adaptive Segmentation of
Water Surfaces with Reflection
Correction.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
2023
-
Martens, Emil Ludvig;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf.
(2023)
Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Kwizera, Fred;
Stahl, Annette.
(2023)
Deep Learning based plankton Classification.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Semb, Helene;
Stahl, Annette.
(2023)
Optimizing Mask R-CNN network for damage detection on
infrastructure.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Strandenes, Kevin;
Stahl, Annette.
(2023)
Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Høgstedt, Espen Berntzen;
Stahl, Annette;
Schellewald, Christian.
(2023)
Developing a deep learning pipeline for automated salmon
welfare analysis by respiration frequency.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Dyrstad, Jonatan Sjølund;
Stahl, Annette;
Mathiassen, John Reidar Bartle.
(2023)
Robot learning with visual processing in arbitrarily sized, high resolution volumes .
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
-
Helgesen, Øystein Kaarstad;
Thyri, Emil Hjelseth;
Brekke, Edmund Førland;
Stahl, Annette;
Breivik, Morten.
(2023)
Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries.
MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
-
Lopez, Michael Ernesto;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2023)
Multiscan Shape Estimation for Extended Object Tracking.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Helgesen, Øystein Kaarstad;
Brekke, Edmund Førland;
Stahl, Annette.
(2023)
Multi-Sensor Tracking for Autonomous Surface Vehicles.
Doctoral theses at NTNU (84)
Doktorgradsavhandling
-
Williamson, David Roddan;
Moreira Fragoso, Glaucia;
Majaneva, Sanna Kristiina;
Dallolio, Alberto;
Halvorsen, Daniel Ørnes;
Hasler, Oliver Kevin.
(2023)
Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales.
Oceanography
Vitenskapelig artikkel
-
Volden, Øystein;
Stahl, Annette;
Fossen, Thor I..
(2023)
Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles.
IEEE Access
Vitenskapelig artikkel
-
Leonardi, Marco;
Stahl, Annette;
Brekke, Edmund Førland;
Ludvigsen, Martin.
(2023)
Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance.
NTNU
Doktorgradsavhandling
-
Helgesen, Øystein Kaarstad;
Stahl, Annette;
Brekke, Edmund Førland.
(2023)
Maritime Tracking with Georeferenced Multi-Camera Fusion.
IEEE Access
Vitenskapelig artikkel
-
Leonardi, Marco;
Stahl, Annette;
Brekke, Edmund Førland;
Ludvigsen, Martin.
(2023)
UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations.
Autonomous Robots
Vitenskapelig artikkel
-
Flemmen, Henrik Dobbe;
Mester, Rudolf;
Stahl, Annette;
Bryne, Torleiv Håland;
Brekke, Edmund Førland.
(2023)
Maritime radar odometry inspired by visual odometry.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Ansari, Sadaf;
Desai, Dattesh V.;
Saad, Aya;
Stahl, Annette.
(2023)
Implications of single-stage deep learning networks in real-time zooplankton identification.
Current Science
Vitenskapelig artikkel
2022
-
Stahl, Annette.
(2022)
Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness
of underwater visual perception systems.
NTNU AMOS - Annual Report
Rapport
-
Stahl, Annette.
(2022)
Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish
Behavior.
NTNU AMOS - Annual Report
Rapport
-
Schmidt, Magnus Stray;
Stahl, Annette;
Mester, Rudolf;
Yip, Mauhing.
(2022)
Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Kolsgaard, Amalie;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf.
(2022)
Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Fagerli, Anders Thallaug;
Stahl, Annette;
Mester, Rudolf;
Yip, Mauhing.
(2022)
Deep Monocular Depth Estimation for Autonomous Underwater Vehicles.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Hodne, Lars Martin;
Leikvoll, Eirik;
Yip, Mauhing;
Teigen, Andreas Langeland;
Stahl, Annette;
Mester, Rudolf.
(2022)
Detecting and Suppressing Marine Snow for Underwater Visual SLAM.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Vitenskapelig artikkel
-
Schellewald, Christian;
Stahl, Annette.
(2022)
Irregularity Detection in Net Pens Exploiting Computer Vision .
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Jahren, Jan Henrik;
Schellewald, Christian;
Stahl, Annette.
(2022)
Motion Trajectory Estimation of Salmon Using Stereo Vision.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haavardsholm, Trym Vegard;
Opsahl, Thomas Olsvik;
Skauli, Torbjørn;
Stahl, Annette.
(2022)
Compact multimodal multispectral sensor system for tactical reconnaissance.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Oudijk, Esmée;
Hasler, Oliver Kevin;
Øveraas, Henning;
Marty, Sabine;
Williamson, David Roddan;
Svendsen, Torbjørn Karl.
(2022)
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel
-
Borgersen, Jonas Nagell;
Saad, Aya;
Stahl, Annette.
(2022)
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Haugo, Simen;
Stahl, Annette.
(2022)
Progressive integration of visibility constraints for implicit functions.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Madshaven, Arild;
Schellewald, Christian;
Stahl, Annette.
(2022)
Hole Detection in Aquaculture Net Cages
from Video Footage.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2022)
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Vasstein, Kjetil;
Brekke, Edmund Førland;
Stahl, Annette.
(2022)
Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment.
Ocean Engineering
Vitenskapelig artikkel
2021
-
Zwilgmeyer, Peder Georg Olofsson;
Yip, Mauhing;
Teigen, Andreas Langeland;
Mester, Rudolf;
Stahl, Annette.
(2021)
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth.
IEEE International Conference on Computer Vision (ICCV)
Vitenskapelig artikkel
-
Borgersen, Jonas;
Stahl, Annette;
Saad, Aya.
(2021)
Attention Segmentation Approaches for Plankton Images Captured in-Situ.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Schellewald, Christian;
Stahl, Annette;
Kelasidi, Eleni.
(2021)
Vision-based pose estimation for autonomous operations in aquacultural fish farms.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haug, Martin Lund;
Saad, Aya;
Stahl, Annette.
(2021)
CIRAL: a hybrid active learning framework for plankon taxa labeling.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haug, Martin Lund;
Saad, Aya;
Stahl, Annette.
(2021)
A combined informative and representative active learning approach for plankton taxa labeling.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Volden, Øystein;
Stahl, Annette;
Fossen, Thor I..
(2021)
Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs).
International Journal of Intelligent Robotics and Applications (IJIRA)
Vitenskapelig artikkel
-
Bazilchuk, Nancy Reney;
Stahl, Annette;
Johnsen, Geir;
Saad, Aya;
Thu, Maren;
Nøland, Annecken.
(2021)
Sporhunden som lukter mikroalger. .
Gemini.no
Populærvitenskapelig artikkel
-
Haug, Martin;
Stahl, Annette;
Saad, Aya.
(2021)
Appling active learning techniques in machine learning to minimize labeling effort.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Salvesen, Eivind;
Stahl, Annette;
Saad, Aya.
(2021)
Uovervåket metoder for in-situ klassifisering av plankton taxa.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
Mastergradsoppgave
-
Teigen, Andreas Langeland;
Saad, Aya;
Stahl, Annette;
Mester, Rudolf.
(2021)
Few-Shot Open World Learner.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Brekke, Edmund Førland;
Stahl, Annette;
Engelhardtsen, Øystein.
(2021)
Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Leonardi, Marco;
Fiori, Luca;
Stahl, Annette.
(2021)
Deep learning based keypoint rejection system for underwater visual ego-motion estimation.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Saad, Aya;
Bergum, Sondre Aleksander;
Stahl, Annette.
(2021)
An instance segmentation framework for in-situ plankton taxa assessment.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
2020
-
Skjellaug, Even;
Brekke, Edmund Førland;
Stahl, Annette.
(2020)
Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bergum, Sondre;
Saad, Aya;
Stahl, Annette.
(2020)
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract).
OCEANS
Sammendrag/abstract
-
Teigen, Andreas;
Saad, Aya;
Stahl, Annette.
(2020)
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations.
OCEANS
Vitenskapelig artikkel
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2020)
Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract.
OCEANS
Sammendrag/abstract
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2020)
Robust methods of unsupervised clustering to discover new planktonic species in-situ.
OCEANS
Vitenskapelig artikkel
-
Bergum, Sondre;
Saad, Aya;
Stahl, Annette.
(2020)
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN.
OCEANS
Vitenskapelig artikkel
-
Teigen, Andreas;
Saad, Aya;
Stahl, Annette.
(2020)
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract.
OCEANS
Sammendrag/abstract
-
Haavardsholm, Trym Vegard;
Skauli, Torbjørn;
Stahl, Annette.
(2020)
Multimodal Multispectral Imaging System for Small UAVs.
IEEE Robotics and Automation Letters
Vitenskapelig artikkel
-
Fondevik, Simen Keiland;
Stahl, Annette;
Transeth, Aksel Andreas;
Knudsen, Ole Øystein.
(2020)
Image Segmentation of Corrosion Damages in Industrial Inspections.
Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI)
Vitenskapelig artikkel
-
Teigen, Andreas;
Stahl, Annette;
Saad, Aya.
(2020)
Few-shot open world learning.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Bergum, Sondre;
Stahl, Annette;
Saad, Aya.
(2020)
Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Oda, Kiese;
Stahl, Annette;
Saad, Aya.
(2020)
Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Haugo, Simen;
Stahl, Annette.
(2020)
Iterative Closest Point with Minimal Free Space Constraints.
Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Haugo, Simen;
Stahl, Annette.
(2020)
Minimal Free Space Constraints for Implicit Distance Bounds.
Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Saad, Aya;
Stahl, Annette;
Våge, Andreas;
Davies, Emlyn John;
Nordam, Tor;
Aberle-Malzahn, Nicole.
(2020)
Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer.
Oceanography
Vitenskapelig artikkel
2019
-
Henriksen, Marie Bøe;
Garrett, Joseph;
Prentice, Elizabeth Frances;
Stahl, Annette;
Johansen, Tor Arne;
Sigernes, Fred.
(2019)
Real-time Corrections for a Low-cost Hyperspectral Instrument
.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel
-
Holm, Egil;
Transeth, Aksel Andreas;
Knudsen, Ole Øystein;
Stahl, Annette.
(2019)
Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks.
SPIE - The International Society for Optics and Photonics
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lien, Andreas Myskja;
Schellewald, Christian;
Stahl, Annette;
Frank, Kevin;
Skøien, Kristoffer Rist;
Tjølsen, Jan Inge.
(2019)
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform.
Aquacultural Engineering
Vitenskapelig oversiktsartikkel/review
2018
-
Dyrstad, Jonatan Sjølund;
Øye, Elling Ruud;
Stahl, Annette;
Mathiassen, John Reidar Bartle.
(2018)
Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Vitenskapelig artikkel
-
Leonardi, Marco;
Stahl, Annette.
(2018)
Convolutional Autoencoder aided loop closure detection for monocular SLAM .
Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Dahlin Rodin, Christopher;
Stahl, Annette;
Johansen, Tor Arne.
(2018)
Skyline Based Camera Attitude Estimation Using a Digital Surface Model.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2017
-
Føre, Martin;
Frank, Kevin;
Norton, Tomas;
Svendsen, Eirik;
Alfredsen, Jo Arve;
Dempster, Timothy David.
(2017)
Precision fish farming: A new framework to improve production in aquaculture.
Biosystems Engineering
Vitenskapelig artikkel
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette;
Lien, Andreas Myskja;
Sunde, Leif Magne;
Lader, Pål Furset.
(2017)
Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages.
Aquacultural Engineering
Vitenskapelig artikkel
-
Føre, Martin;
Svendsen, Eirik;
Frank, Kevin;
Schellewald, Christian;
Sunde, Leif Magne;
Stahl, Annette.
(2017)
LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser.
Norsk Fiskeoppdrett
Populærvitenskapelig artikkel
-
Føre, Martin;
Frank, Kevin;
Svendsen, Eirik;
Schellewald, Christian;
Sunde, Leif Magne;
Alfredsen, Jo Arve.
(2017)
Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning
Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184.
SINTEF Ocean AS
Rapport
-
Leonardi, Marco;
Stahl, Annette.
(2017)
Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2016
-
Jovanović, Vedran;
Risojević, Vladimir;
Babić, Zdenka;
Svendsen, Eirik;
Stahl, Annette.
(2016)
Splash detection in surveillance videos of offshore fish production plants.
International Conference on Systems, Signals, and Image Processing
Vitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robotsyn gir friskere fisk.
Dagens næringsliv
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robotsyn finner sykdom og gir friskere fisk.
Gemini
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Ser sykdom og gir friskere fisk.
Teknisk Ukeblad
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robot vision helps detect diseases and keep fish healthy.
Gemini (English edition)
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Droner ser sykdom på fisk og hull i nøter.
iLaks.no
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Ser sykdom og gir friskere fisk.
Automatisering
Populærvitenskapelig artikkel
-
Stahl, Annette;
Kvamsdal, Trond;
Schellewald, Christian.
(2016)
Post-processing and visualization techniques for isogeometric analysis results.
Computer Methods in Applied Mechanics and Engineering
Vitenskapelig artikkel
2015
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette;
Lien, Andreas Myskja;
Sunde, Leif Magne.
(2015)
Modellforsøk med dukbasert avlusing.
Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF.
SINTEF Fiskeri og Havbruk
Rapport
-
Duda, Alexander;
Schwendner, Jakob;
Stahl, Annette;
Rundtop, Per.
(2015)
Visual pose estimation for autonomous inspection of fish pens.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2014
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette.
(2014)
Modellforsøk med dukbasert avlusing
Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport.
SINTEF Fiskeri og havbruk
Rapport
2012
-
Stahl, Annette;
Schellewald, Christian;
Stavdahl, Øyvind;
Aamo, Ole Morten;
Adde, Lars;
Kirkerød, Harald.
(2012)
An Optical Flow-Based Method to Predict Infantile Cerebral Palsy.
IEEE transactions on neural systems and rehabilitation engineering
Vitenskapelig artikkel
2011
-
Stahl, Annette;
Aamo, Ole Morten.
(2011)
A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Stahl, Annette;
Kvamsdal, Trond.
(2011)
B-Spline Approximation for Visualisation of Isogeometric Analysis Results.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2010
-
Stahl, Annette;
Aamo, Ole Morten.
(2010)
Image motion estimation using optimal flow control.
INSTICC (Institute for Systems and Technologies of Information, Control and Communication)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2009
-
Stahl, Annette.
(2009)
PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors.
University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
Doktorgradsavhandling
2007
-
Ruhnau, Paul;
Stahl, Annette;
Schnoerr, Christoph.
(2007)
Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization.
Measurement Science and Technology
Vitenskapelig artikkel
2003
-
Stahl, Annette.
(2003)
Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung.
University of Mannheim, Germany
Mastergradsoppgave
Tidsskriftspublikasjoner
-
Teigen, Andreas Langeland;
Yip, Mau Hing;
Hamran, Victor Pierre;
Skui, Vegard;
Stahl, Annette;
Mester, Rudolf.
(2025)
Removing Adverse Volumetric Effects from Trained Neural Radiance Fields.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Yip, Mau Hing;
Schellewald, Christian;
Gambin, Timmy;
Stahl, Annette.
(2024)
Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Høgstedt, Espen Berntzen;
Schellewald, Christian;
Mester, Rudolf;
Stahl, Annette.
(2024)
Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability.
Aquaculture
Vitenskapelig artikkel
-
Schellewald, Christian;
Saad, Aya;
Stahl, Annette.
(2024)
Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Diamanti, Eleni;
Yip, Mau Hing;
Stahl, Annette;
Ødegård, Øyvind.
(2024)
Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios.
Journal of Computer Applications in Archaeology
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2024)
Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera.
Journal of Physics: Conference Series (JPCS)
Vitenskapelig artikkel
-
Dalhaug, Nicholas;
Nygård, Trym Anthonsen;
Stahl, Annette;
Mester, Rudolf;
Brekke, Edmund Førland.
(2024)
Advancing Sparse Classical Scene Flow into the Maritime Domain.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Yip, Mau Hing;
Stahl, Annette;
Schellewald, Christian.
(2024)
Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices.
Computer-Aided Design
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Dalhaug, Nicholas;
Mester, Rudolf;
Brekke, Edmund Førland;
Stahl, Annette.
(2024)
Stereo Camera-based Free Space Estimation for Docking in Urban Waters.
MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Thyri, Emil Hjelseth;
Brekke, Edmund Førland;
Stahl, Annette;
Breivik, Morten.
(2023)
Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries.
MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
-
Williamson, David Roddan;
Moreira Fragoso, Glaucia;
Majaneva, Sanna Kristiina;
Dallolio, Alberto;
Halvorsen, Daniel Ørnes;
Hasler, Oliver Kevin.
(2023)
Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales.
Oceanography
Vitenskapelig artikkel
-
Volden, Øystein;
Stahl, Annette;
Fossen, Thor I..
(2023)
Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles.
IEEE Access
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Stahl, Annette;
Brekke, Edmund Førland.
(2023)
Maritime Tracking with Georeferenced Multi-Camera Fusion.
IEEE Access
Vitenskapelig artikkel
-
Leonardi, Marco;
Stahl, Annette;
Brekke, Edmund Førland;
Ludvigsen, Martin.
(2023)
UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations.
Autonomous Robots
Vitenskapelig artikkel
-
Ansari, Sadaf;
Desai, Dattesh V.;
Saad, Aya;
Stahl, Annette.
(2023)
Implications of single-stage deep learning networks in real-time zooplankton identification.
Current Science
Vitenskapelig artikkel
-
Hodne, Lars Martin;
Leikvoll, Eirik;
Yip, Mauhing;
Teigen, Andreas Langeland;
Stahl, Annette;
Mester, Rudolf.
(2022)
Detecting and Suppressing Marine Snow for Underwater Visual SLAM.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Vitenskapelig artikkel
-
Schellewald, Christian;
Stahl, Annette.
(2022)
Irregularity Detection in Net Pens Exploiting Computer Vision .
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Nygård, Trym Anthonsen;
Jahren, Jan Henrik;
Schellewald, Christian;
Stahl, Annette.
(2022)
Motion Trajectory Estimation of Salmon Using Stereo Vision.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haavardsholm, Trym Vegard;
Opsahl, Thomas Olsvik;
Skauli, Torbjørn;
Stahl, Annette.
(2022)
Compact multimodal multispectral sensor system for tactical reconnaissance.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Oudijk, Esmée;
Hasler, Oliver Kevin;
Øveraas, Henning;
Marty, Sabine;
Williamson, David Roddan;
Svendsen, Torbjørn Karl.
(2022)
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel
-
Borgersen, Jonas Nagell;
Saad, Aya;
Stahl, Annette.
(2022)
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Haugo, Simen;
Stahl, Annette.
(2022)
Progressive integration of visibility constraints for implicit functions.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Madshaven, Arild;
Schellewald, Christian;
Stahl, Annette.
(2022)
Hole Detection in Aquaculture Net Cages
from Video Footage.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2022)
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Vasstein, Kjetil;
Brekke, Edmund Førland;
Stahl, Annette.
(2022)
Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment.
Ocean Engineering
Vitenskapelig artikkel
-
Zwilgmeyer, Peder Georg Olofsson;
Yip, Mauhing;
Teigen, Andreas Langeland;
Mester, Rudolf;
Stahl, Annette.
(2021)
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth.
IEEE International Conference on Computer Vision (ICCV)
Vitenskapelig artikkel
-
Schellewald, Christian;
Stahl, Annette;
Kelasidi, Eleni.
(2021)
Vision-based pose estimation for autonomous operations in aquacultural fish farms.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haug, Martin Lund;
Saad, Aya;
Stahl, Annette.
(2021)
CIRAL: a hybrid active learning framework for plankon taxa labeling.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Haug, Martin Lund;
Saad, Aya;
Stahl, Annette.
(2021)
A combined informative and representative active learning approach for plankton taxa labeling.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Volden, Øystein;
Stahl, Annette;
Fossen, Thor I..
(2021)
Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs).
International Journal of Intelligent Robotics and Applications (IJIRA)
Vitenskapelig artikkel
-
Bazilchuk, Nancy Reney;
Stahl, Annette;
Johnsen, Geir;
Saad, Aya;
Thu, Maren;
Nøland, Annecken.
(2021)
Sporhunden som lukter mikroalger. .
Gemini.no
Populærvitenskapelig artikkel
-
Teigen, Andreas Langeland;
Saad, Aya;
Stahl, Annette;
Mester, Rudolf.
(2021)
Few-Shot Open World Learner.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Helgesen, Øystein Kaarstad;
Brekke, Edmund Førland;
Stahl, Annette;
Engelhardtsen, Øystein.
(2021)
Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Leonardi, Marco;
Fiori, Luca;
Stahl, Annette.
(2021)
Deep learning based keypoint rejection system for underwater visual ego-motion estimation.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Saad, Aya;
Bergum, Sondre Aleksander;
Stahl, Annette.
(2021)
An instance segmentation framework for in-situ plankton taxa assessment.
Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
-
Bergum, Sondre;
Saad, Aya;
Stahl, Annette.
(2020)
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract).
OCEANS
Sammendrag/abstract
-
Teigen, Andreas;
Saad, Aya;
Stahl, Annette.
(2020)
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations.
OCEANS
Vitenskapelig artikkel
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2020)
Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract.
OCEANS
Sammendrag/abstract
-
Salvesen, Eivind;
Saad, Aya;
Stahl, Annette.
(2020)
Robust methods of unsupervised clustering to discover new planktonic species in-situ.
OCEANS
Vitenskapelig artikkel
-
Bergum, Sondre;
Saad, Aya;
Stahl, Annette.
(2020)
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN.
OCEANS
Vitenskapelig artikkel
-
Teigen, Andreas;
Saad, Aya;
Stahl, Annette.
(2020)
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract.
OCEANS
Sammendrag/abstract
-
Haavardsholm, Trym Vegard;
Skauli, Torbjørn;
Stahl, Annette.
(2020)
Multimodal Multispectral Imaging System for Small UAVs.
IEEE Robotics and Automation Letters
Vitenskapelig artikkel
-
Fondevik, Simen Keiland;
Stahl, Annette;
Transeth, Aksel Andreas;
Knudsen, Ole Øystein.
(2020)
Image Segmentation of Corrosion Damages in Industrial Inspections.
Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI)
Vitenskapelig artikkel
-
Saad, Aya;
Stahl, Annette;
Våge, Andreas;
Davies, Emlyn John;
Nordam, Tor;
Aberle-Malzahn, Nicole.
(2020)
Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer.
Oceanography
Vitenskapelig artikkel
-
Henriksen, Marie Bøe;
Garrett, Joseph;
Prentice, Elizabeth Frances;
Stahl, Annette;
Johansen, Tor Arne;
Sigernes, Fred.
(2019)
Real-time Corrections for a Low-cost Hyperspectral Instrument
.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel
-
Lien, Andreas Myskja;
Schellewald, Christian;
Stahl, Annette;
Frank, Kevin;
Skøien, Kristoffer Rist;
Tjølsen, Jan Inge.
(2019)
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform.
Aquacultural Engineering
Vitenskapelig oversiktsartikkel/review
-
Dyrstad, Jonatan Sjølund;
Øye, Elling Ruud;
Stahl, Annette;
Mathiassen, John Reidar Bartle.
(2018)
Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Vitenskapelig artikkel
-
Føre, Martin;
Frank, Kevin;
Norton, Tomas;
Svendsen, Eirik;
Alfredsen, Jo Arve;
Dempster, Timothy David.
(2017)
Precision fish farming: A new framework to improve production in aquaculture.
Biosystems Engineering
Vitenskapelig artikkel
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette;
Lien, Andreas Myskja;
Sunde, Leif Magne;
Lader, Pål Furset.
(2017)
Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages.
Aquacultural Engineering
Vitenskapelig artikkel
-
Føre, Martin;
Svendsen, Eirik;
Frank, Kevin;
Schellewald, Christian;
Sunde, Leif Magne;
Stahl, Annette.
(2017)
LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser.
Norsk Fiskeoppdrett
Populærvitenskapelig artikkel
-
Jovanović, Vedran;
Risojević, Vladimir;
Babić, Zdenka;
Svendsen, Eirik;
Stahl, Annette.
(2016)
Splash detection in surveillance videos of offshore fish production plants.
International Conference on Systems, Signals, and Image Processing
Vitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robotsyn gir friskere fisk.
Dagens næringsliv
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robotsyn finner sykdom og gir friskere fisk.
Gemini
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Ser sykdom og gir friskere fisk.
Teknisk Ukeblad
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Robot vision helps detect diseases and keep fish healthy.
Gemini (English edition)
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Droner ser sykdom på fisk og hull i nøter.
iLaks.no
Populærvitenskapelig artikkel
-
Stahl, Annette.
(2016)
Ser sykdom og gir friskere fisk.
Automatisering
Populærvitenskapelig artikkel
-
Stahl, Annette;
Kvamsdal, Trond;
Schellewald, Christian.
(2016)
Post-processing and visualization techniques for isogeometric analysis results.
Computer Methods in Applied Mechanics and Engineering
Vitenskapelig artikkel
-
Stahl, Annette;
Schellewald, Christian;
Stavdahl, Øyvind;
Aamo, Ole Morten;
Adde, Lars;
Kirkerød, Harald.
(2012)
An Optical Flow-Based Method to Predict Infantile Cerebral Palsy.
IEEE transactions on neural systems and rehabilitation engineering
Vitenskapelig artikkel
-
Ruhnau, Paul;
Stahl, Annette;
Schnoerr, Christoph.
(2007)
Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization.
Measurement Science and Technology
Vitenskapelig artikkel
Del av bok/rapport
-
Dalhaug, Nicholas;
Stahl, Annette;
Mester, Rudolf;
Brekke, Edmund Førland.
(2024)
Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Grini, Jon Torgeir;
Mester, Rudolf;
Nygård, Trym Anthonsen;
Dalhaug, Nicholas;
Brekke, Edmund Førland;
Stahl, Annette.
(2024)
FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Hilmarsen, Henrik;
Dalhaug, Nicholas;
Nygård, Trym Anthonsen;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2024)
Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar .
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Teigen, Andreas Langeland;
Park, Yeonsoo;
Stahl, Annette;
Mester, Rudolf.
(2024)
RGB-D Mapping and Tracking in a Plenoxel Radiance Field.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lopez, Michael Ernesto;
Brekke, Edmund Førland;
Mester, Rudolf;
Stahl, Annette.
(2023)
Multiscan Shape Estimation for Extended Object Tracking.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Flemmen, Henrik Dobbe;
Mester, Rudolf;
Stahl, Annette;
Bryne, Torleiv Håland;
Brekke, Edmund Førland.
(2023)
Maritime radar odometry inspired by visual odometry.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Skjellaug, Even;
Brekke, Edmund Førland;
Stahl, Annette.
(2020)
Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Haugo, Simen;
Stahl, Annette.
(2020)
Iterative Closest Point with Minimal Free Space Constraints.
Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Haugo, Simen;
Stahl, Annette.
(2020)
Minimal Free Space Constraints for Implicit Distance Bounds.
Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Holm, Egil;
Transeth, Aksel Andreas;
Knudsen, Ole Øystein;
Stahl, Annette.
(2019)
Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks.
SPIE - The International Society for Optics and Photonics
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Leonardi, Marco;
Stahl, Annette.
(2018)
Convolutional Autoencoder aided loop closure detection for monocular SLAM .
Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Dahlin Rodin, Christopher;
Stahl, Annette;
Johansen, Tor Arne.
(2018)
Skyline Based Camera Attitude Estimation Using a Digital Surface Model.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Leonardi, Marco;
Stahl, Annette.
(2017)
Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Duda, Alexander;
Schwendner, Jakob;
Stahl, Annette;
Rundtop, Per.
(2015)
Visual pose estimation for autonomous inspection of fish pens.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Stahl, Annette;
Aamo, Ole Morten.
(2011)
A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Stahl, Annette;
Kvamsdal, Trond.
(2011)
B-Spline Approximation for Visualisation of Isogeometric Analysis Results.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Stahl, Annette;
Aamo, Ole Morten.
(2010)
Image motion estimation using optimal flow control.
INSTICC (Institute for Systems and Technologies of Information, Control and Communication)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Hilmarsen, Henrik;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf;
Dalhaug, Nicholas;
Nygård, Trym Anthonsen.
(2024)
Maritime Tracking-by-Detection
Using Camera and Lidar.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Larsen, Sindre;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
Objective Analysis of Melanin Spots
as Welfare Signals in Atlantic Salmon
Using AI-Based Computer Vision.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Fink, Thale Eliassen;
Stahl, Annette;
Yip, Mau Hing.
(2024)
Near Real-Time Data Extraction and
Georeferencing of the Eelume
Robot’s Point Cloud, with Publishing
to Custom User Applications.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Storstein, Fredrikke;
Stahl, Annette;
Mester, Rudolf.
(2024)
Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Fjorden, Thomas;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Wiik, Magnus;
Stahl, Annette;
Schellewald, Christian;
Mester, Rudolf;
Høgstedt, Espen Berntzen.
(2024)
Assessing Re-Identification
Capabilities of Salmon Body Parts
Using AI-Based Computer Vision
Methods.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Bergholt, Agnes Verne;
Haukefær, Anna Aurora;
Stahl, Annette.
(2024)
Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Grini, Jon Torgeir;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf;
Nygård, Trym Anthonsen;
Dalhaug, Nicholas.
(2024)
Bayesian Adaptive Segmentation of
Water Surfaces with Reflection
Correction.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Martens, Emil Ludvig;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf.
(2023)
Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Kwizera, Fred;
Stahl, Annette.
(2023)
Deep Learning based plankton Classification.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Semb, Helene;
Stahl, Annette.
(2023)
Optimizing Mask R-CNN network for damage detection on
infrastructure.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Strandenes, Kevin;
Stahl, Annette.
(2023)
Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Høgstedt, Espen Berntzen;
Stahl, Annette;
Schellewald, Christian.
(2023)
Developing a deep learning pipeline for automated salmon
welfare analysis by respiration frequency.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
-
Dyrstad, Jonatan Sjølund;
Stahl, Annette;
Mathiassen, John Reidar Bartle.
(2023)
Robot learning with visual processing in arbitrarily sized, high resolution volumes .
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
-
Helgesen, Øystein Kaarstad;
Brekke, Edmund Førland;
Stahl, Annette.
(2023)
Multi-Sensor Tracking for Autonomous Surface Vehicles.
Doctoral theses at NTNU (84)
Doktorgradsavhandling
-
Leonardi, Marco;
Stahl, Annette;
Brekke, Edmund Førland;
Ludvigsen, Martin.
(2023)
Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance.
NTNU
Doktorgradsavhandling
-
Stahl, Annette.
(2022)
Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness
of underwater visual perception systems.
NTNU AMOS - Annual Report
Rapport
-
Stahl, Annette.
(2022)
Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish
Behavior.
NTNU AMOS - Annual Report
Rapport
-
Schmidt, Magnus Stray;
Stahl, Annette;
Mester, Rudolf;
Yip, Mauhing.
(2022)
Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Kolsgaard, Amalie;
Stahl, Annette;
Brekke, Edmund Førland;
Mester, Rudolf.
(2022)
Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Fagerli, Anders Thallaug;
Stahl, Annette;
Mester, Rudolf;
Yip, Mauhing.
(2022)
Deep Monocular Depth Estimation for Autonomous Underwater Vehicles.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Borgersen, Jonas;
Stahl, Annette;
Saad, Aya.
(2021)
Attention Segmentation Approaches for Plankton Images Captured in-Situ.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Haug, Martin;
Stahl, Annette;
Saad, Aya.
(2021)
Appling active learning techniques in machine learning to minimize labeling effort.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Salvesen, Eivind;
Stahl, Annette;
Saad, Aya.
(2021)
Uovervåket metoder for in-situ klassifisering av plankton taxa.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
Mastergradsoppgave
-
Teigen, Andreas;
Stahl, Annette;
Saad, Aya.
(2020)
Few-shot open world learning.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Bergum, Sondre;
Stahl, Annette;
Saad, Aya.
(2020)
Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Oda, Kiese;
Stahl, Annette;
Saad, Aya.
(2020)
Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer.
Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
-
Føre, Martin;
Frank, Kevin;
Svendsen, Eirik;
Schellewald, Christian;
Sunde, Leif Magne;
Alfredsen, Jo Arve.
(2017)
Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning
Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184.
SINTEF Ocean AS
Rapport
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette;
Lien, Andreas Myskja;
Sunde, Leif Magne.
(2015)
Modellforsøk med dukbasert avlusing.
Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF.
SINTEF Fiskeri og Havbruk
Rapport
-
Volent, Zsolt;
Birkevold, Jens;
Stahl, Annette.
(2014)
Modellforsøk med dukbasert avlusing
Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport.
SINTEF Fiskeri og havbruk
Rapport
-
Stahl, Annette.
(2009)
PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors.
University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
Doktorgradsavhandling
-
Stahl, Annette.
(2003)
Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung.
University of Mannheim, Germany
Mastergradsoppgave
Undervisning
Emner
Formidling
2024
-
Vitenskapelig foredragNygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
-
Vitenskapelig foredragLopez, Michael Ernesto; Vasstein, Kjetil; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
-
Vitenskapelig foredragTeigen, Andreas Langeland; Park, Yikyung; Mester, Rudolf; Stahl, Annette. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE Xplore IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Waikoloa, Hawaii 2024-01-14 - 2024-01-17
-
Vitenskapelig foredragSchellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision - Presentation. Internation Federation of Automatic Control IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS2024) , Virginia Tech, Blacksberg, Virginia, USA 2024-09-03 - 2024-09-05
-
Vitenskapelig foredragYip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles , Blacksburg, Virginia 2024-09-03 - 2024-09-06
-
Vitenskapelig foredragMartens, Emil Ludvig; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A Lightweight, Polarization-Camera Equipped Sensor Rig for the Development of Autonomous Surface Vehicles. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
-
Vitenskapelig foredragStahl, Annette. (2024) ti. MTEC/ICMASS 2024 Where Industry Meets Academia Trondheim, Norway, 29–30 October 2024 , Trondheim 2024-10-29 - 2024-10-30
-
Vitenskapelig foredragDalhaug, Nicholas; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
-
Vitenskapelig foredragHilmarsen, Henrik; Dalhaug, Nicholas; Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar . 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
-
Vitenskapelig foredragGrini, Jon Torgeir; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas; Brekke, Edmund Førland; Stahl, Annette. (2024) FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
-
Vitenskapelig foredragDalhaug, Nicholas; Nygård, Trym Anthonsen; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Advancing Sparse Classical Scene Flow into the Maritime Domain. IFAC CAMS 2024-09-03 - 2024-09-05
-
Vitenskapelig foredragStahl, Annette. (2024) Robotic Vision for Autonomous Operations in Aquaculture. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) , Abu Dhabi National Exhibition Centre (ADNEC), Abu Dhabi 2024-10-14 - 2024-10-14
-
Vitenskapelig foredragTeigen, Andreas Langeland; Yip, Mau Hing; Hamran, Victor Pierre; Skui, Vegard; Stahl, Annette; Mester, Rudolf. (2024) Removing adverse volumetric effects from trained neural radiance fields. International Symposium on Visual Computing , Nevada 2024-10-21 - 2024-10-23
2023
-
Vitenskapelig foredragStahl, Annette. (2023) Autonomy needs Eyes - Vision-based Scene Perception and Interpretation for Autonomous Robots . NTNU AMOS AMOS Day, The Celebration Closing Event of the Center of Excellence NTNU AMOS with national and international guests; Session 3 – Selected Highlights and International Collaboration 2023-06-30 - 2023-06-30
-
Vitenskapelig foredragLopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. Fusion 2023 2023-06-27 - 2023-06-30
-
Vitenskapelig foredragFlemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. International Society of Information Fusion (ISIF) 2023 26th International Conference on Information Fusion (FUSION) , Charleston 2023-06-27 - 2023-06-30
-
Faglig foredragHaugum, Matias; Fragoso, Glaucia; Stahl, Annette; Johansen, Tor Arne. (2023) In-situ segmentation and post-processing of phytoplankton image data suitable for an autonomous surface vehicle. 20th International Conference on Harmful Algae 2023-11-05 - 2023-11-10
2022
-
Faglig foredragOudijk, Esmée; Hasler, Oliver Kevin; Overaas, H; Marty, Sabine; Williamson, David; Svendsen, T. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2022-10-13 - 2022-10-16
-
Vitenskapelig foredragHodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE/CVF Conference on Computer Vision and Pattern Recogniti Fourth Workshop on Image Matching: Local Features and Beyond , New Orleans, Louisiana 2022-06-19 - 2022-06-23
-
Vitenskapelig foredragStahl, Annette. (2022) Keynote: Robotics and vision-based autonomic systems in challenging environments. EIROforum 2022 EIROforum Topical Workshop on Robotics & Remote Operation , Cern 2022-03-01 - 2022-03-03
-
Vitenskapelig foredragStahl, Annette. (2022) Underwater visual perception for autonomous robots. Norwegian University of Science and Technology EEA Malta-Norway Workshop , Trondheim 2022-10-11 - 2022-10-14
-
Vitenskapelig foredragStahl, Annette. (2022) Robotic Vision - Sensor systems as a basis for a sustainable digitalization. Faculty for Informatio Technology and Electrical Engineering IE-Dagen , Trondheim 2022-06-15 - 2022-06-15
-
Vitenskapelig foredragStahl, Annette. (2022) Seeing the Unseen: Visual Perception for Autonomous Robots. Norwegian University of Science and Technology AMOS Days , Trondheim 2022-09-09 - 2022-09-09
-
Vitenskapelig foredragHaavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. SPIE SPIE Imaging Spectrometry XXV: Applications, Sensors, and Processing , San Diego 2022-08-22 -
-
Vitenskapelig foredragSchellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-14 - 2022-09-16
-
Vitenskapelig foredragNygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-22 - 2022-09-24
2021
-
Vitenskapelig foredragMadshaven, Arild; Schellewald, Christian; Stahl, Annette. (2021) Hole Detection in Aquaculture Net Cages from Video Footage. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
-
Vitenskapelig foredragSchellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-Based Net-Pose Estimation for Autonomous Operations in Aquacultural Fish Cages. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
-
Vitenskapelig foredragHaugo, Simen; Stahl, Annette. (2021) Progressive integration of visibility constraints for implicit functions. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
-
Vitenskapelig foredragCaharija, Walter; Dalseg, Esten Solem; Haugaløkken, Bent Oddvar Arnesen; Stahl, Annette. (2021) Echosounder tracking with monocular camera for biomass estimation. Oceans 2021 , San Diego – Porto 2021-09-20 - 2021-09-23
-
Vitenskapelig foredragBorgersen, Jonas; Saad, Aya; Stahl, Annette. (2021) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
-
Vitenskapelig foredragHaug, Martin; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
-
Vitenskapelig foredragSalvesen, Eivind; Saad, Aya; Stahl, Annette. (2021) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision , Rome 2021-11-08 - 2021-11-12
-
Vitenskapelig foredragHaug, Martin; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
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Vitenskapelig foredragTeigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
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Vitenskapelig foredragZwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCV Workshop Computer Vision in the Ocean 2021-10-17 - 2021-10-17
2020
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Vitenskapelig foredragOda, Kiese; Saad, Aya; Stahl, Annette. (2020) Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
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PosterAnsari, Sadaf; Saad, Aya; Stahl, Annette; Rajachandran, Madhan. (2020) Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
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PosterSaad, Aya; Davies, Emlyn John; Stahl, Annette. (2020) Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
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Vitenskapelig foredragBergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
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Vitenskapelig foredragStahl, Annette. (2020) Plenary Session: Vision for Robotics. IEEE International Workshop on Advanced Motion Control (AMC2020) 2020-09-14 - 2020-09-16
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PosterTeigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - Poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
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PosterSalvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
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Vitenskapelig foredragSalvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
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Vitenskapelig foredragTeigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
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Populærvitenskapelig foredragLeonardi, Marco; Fiori, Luca; Stahl, Annette. (2020) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC World Congress 2020 2020-07-13 - 2020-07-17
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Vitenskapelig foredragHelgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2020) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC 1st Virtual IFAC World Congress , Virtual Conference 2020-07-11 - 2020-07-17
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Vitenskapelig foredragFondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. 32th International Conference on Tools with Artificial Intelligence 2020-11-09 - 2020-11-11
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Vitenskapelig foredragSaad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2020) An instance segmentation framework for in-situ plankton taxa assessment. ICMV2020 The 13th International Conference on Machine Vision , Roma 2020-11-02 - 2020-11-06
2019
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Faglig foredragHolm, Egil; Transeth, Aksel Andreas; Ole, Knudsen; Stahl, Annette. (2019) Classification of Corrosion and Coating Damages on Bridge Constructions from Images using Convolutional Neural Networks. International Conference on Machine Vision - ICMV 2019-11-16 - 2019-11-18
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Vitenskapelig foredragGarrett, Joseph; Langer, Dennis D.; Avagian, Karine; Stahl, Annette. (2019) Accuracy of super-resolution for hyperspectral ocean observations. IEEE OCEANS , Marseille 2019-06-17 - 2019-06-20
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Vitenskapelig foredragHenriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Sigernes, Fred; Stahl, Annette; Johansen, Tor Arne. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . IEEE WHISPERS , Amsterdam 2019-09-24 - 2019-09-26
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PosterSaad, Aya; Stahl, Annette. (2019) AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ. SINTEF Geilo Winter School 2019: Learning from Data , Geilo 2019-01-20 - 2019-01-25
2018
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Faglig foredragLeonardi, Marco; Stahl, Annette. (2018) Convolution Autoencoder aided loop closure detection for monocular SLAM. IFAC CAMS 2018 2018-09-10 - 2018-09-12
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Vitenskapelig foredragRodin, Christopher D; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. 15th Int.Workshop on Advanced Motion Control 2018-03-09 - 2018-03-11
2017
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Faglig foredragLeonardi, Marco; Stahl, Annette; Ludvigsen, Martin; Nornes, Stein Melvær; Gazzea, Michele; Rist-Christensen, Ida. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. OCEANS 2017 2017-06-19 - 2017-06-22
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Populærvitenskapelig foredragBloecher, Nina; Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne. (2017) Acoustic telemetry and computer vision methods for monitoring and documenting farmed fish behaviour during delousing operations. European Aquaculture Society Aquaculture Europe 2017 , Dubrovnik 2017-10-17 - 2017-10-20
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PosterHaugo, Simen; Stahl, Annette; Brekke, Edmund Førland. (2017) Continuous Signed Distance Functions for 3D Vision. 2017 International Conference on 3D Vision (3DV) 2017-10-10 - 2017-10-12
2016
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IntervjuStahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad Teknisk Ukeblad [Tidsskrift] 2016-11-14
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Vitenskapelig foredragStahl, Annette; Schellewald, Christian; Frank, Kevin; Rundtop, Per; Svendsen, Eirik. (2016) Computer Vision Technology in Aquaculture. Aquaculture Europe 2016 , Edinburgh 2016-09-21 - 2016-09-23
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Vitenskapelig foredragRundtop, Per; Stahl, Annette; Frank, Kevin; Svendsen, Eirik; Bjerkeng, Magnus; Grøtli, Esten Ingar. (2016) Underwater vehicle for autonomous net inspection in salmon aquaculture. Arctic Frontiers 2016-01-24 - 2016-01-29
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Vitenskapelig foredragSvendsen, Eirik; Rundtop, Per; Bjelland, Hans Vanhauwaert; Stahl, Annette; Frank, Kevin; Grøtli, Esten Ingar. (2016) Autonomy in aquaculture - Experiences, trends and future opportunities. Norsk Forening for Automatisering Conference on Autonomy 2016 , Sola/Stavanger 2016-03-16 - 2016-03-17
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Vitenskapelig foredragFrank, Kevin; Rundtop, Per; Lien, Andreas Myskja; Stahl, Annette; Malm, Morten; Tjølsen, Jan Inge. (2016) Infrastruktur og system for økt fôringskontroll i store merder . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
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Vitenskapelig foredragRundtop, Per; Stahl, Annette. (2016) Utvikling av semi-autonom ROV for notinspeksjon . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
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Faglig foredragJovanovic, Vedran; Babic, Zdenka; Risojevic, Vladimir; Svendsen, Eirik; Stahl, Annette. (2016) Splash Detection in Surveillance Videos of Offshore Fish Production Plants. Faculty of Electrical Engineering and Information Tech. International Conference on Systems, Signals and Image Processing (IWSSIP) 2016 Bratislava , Bratislava 2016-05-23 - 2016-05-25
2015
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Vitenskapelig foredragDuda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual Pose Estimation for Autonomous Inspection of Fish Pens. IEEE/MTS MTS/IEEE OCEANS'15 , Genova 2015-05-18 - 2015-05-21
2013
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Vitenskapelig foredragStahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2013) Per-Pixel Accurate Three-dimensional Visualization of adaptive Locally Refined B-Splines in Isogeometric Analysis. Advances in Computational Mechanics (ACM 2013) - A Conference Celebrating the 70th Birthday of Thomas J.R. Hughes , San Diego, California 2013-02-24 - 2013-02-27
2012
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Vitenskapelig foredragStahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2012) Visualization of Adaptive LR B-Splines in Isogeometric Analysis. University of Vienna, ECCOMAS 2012, 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING , Vienna 2012-09-10 - 2012-09-14
2011
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Vitenskapelig foredragStahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualization of Isogeometric Analysis Results. NTNU MekIT’11 Sixth National Conference on Computational Mechanics , Trondheim 2011-05-23 - 2011-05-24
2010
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Vitenskapelig foredragStahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. 7th International Conference on Informatics in Control, Automation and Robotics 2010-06-15 - 2010-06-18
2006
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Vitenskapelig foredragRuhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2006) On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. DAGM 2006, 28th Annual Symposium of the German Association for Pattern Recognition , Berlin 2006-09-12 - 2006-09-14
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Vitenskapelig foredragStahl, Annette; Ruhnau, Paul; Schnoerr, Christoph. (2006) A Distributed-Parameter Approach to Dynamic Image Motion. 9th European Conference on Computer Vision ECCV 2006, Int. Workshop: Representation and Use of Prior Knowledge in Vision , Graz 2006-05-07 - 2006-05-13